DOI: 10.4067/S0718-27242018000400037">
 

Utilizing Technology Acceptance Model (TAM) for driverless car technology adoption

Document Type

Article

Publication Date

2018

Department/School

Engineering Technology

Publication Title

Journal of Technology Management & Innovation

Abstract

This paper examines the relationship between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology, years of driving experience, age and the intention to use driverless cars. This research is a cross-sectional descriptive correlational study with the Technology Acceptance Model as its theoretical framework. The primary method of data collection was an online survey. Pearson’s correlation and multiple linear regression were used for data analysis. This study found significant, positive relationships between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology and intention to use driverless cars. Also, there were significant, negative relationships between years of driving experience, age and intention to use driverless cars.

Comments

A. Eydgahi is a faculty member in EMU's School of Engineering.

*S. Koul is an EMU student.

Link to Published Version

DOI: 10.4067/S0718-27242018000400037

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